10.5285/6C22CF6E-B224-414E-AA85-900325BAEDBD
Morton, R.D.
https://orcid.org/0000-0003-3947-6463
UK Centre for Ecology & Hydrology
Marston, C.G.
https://orcid.org/0000-0002-2070-2187
UK Centre for Ecology & Hydrology
O’Neil, A.W.
https://orcid.org/0000-0003-3591-1034
UK Centre for Ecology & Hydrology
Rowland, C.S.
https://orcid.org/0000-0002-0459-506X
UK Centre for Ecology & Hydrology
Land Cover Map 2020 (25m rasterised land parcels, GB)
NERC EDS Environmental Information Data Centre
2021
Great Britain
Land cover
Mapping
Biodiversity action plan
habitat
land cover
Dr. Dan Morton
UK Centre for Ecology & Hydrology
UK Centre for Ecology & Hydrology
https://ror.org/00pggkr55
NERC EDS Environmental Information Data Centre
https://ror.org/04xw4m193
2021-10-25
en
https://catalogue.ceh.ac.uk/id/6c22cf6e-b224-414e-aa85-900325baedbd
https://data-package.ceh.ac.uk/sd/6c22cf6e-b224-414e-aa85-900325baedbd.zip
image/tiff TIFF
Licence terms and conditions apply
This is a 25m pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band dataset in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty. A full description of this and all UKCEH LCM2020 products are available from the LCM2020 product documentation.
UKCEH’s automated land cover classification algorithms generated the 10m classified pixels, from which all remaining products were generated. Training data for classification were automatically selected from stable land covers over the interval of 2017 to 2019. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.
Land cover was validated by organising the pixel classification into a land parcel framework (the LCM2020 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.
This dataset represents LCM2020 25m rasterised land parcels. It was produced by rasterising three properties of the LCM2020 Classified Land Parcels GB product (_mode, _conf and _purity).
-8.648
1.768
49.864
60.861